Multi-objective Optimal Operation of Centralized Battery Swap Charging System with Photovoltaic

作     者：Yuanzheng Li Yihan Cai Tianyang Zhao Yun Liu Jian Wang Lei Wu Yong Zhao Yuanzheng Li;Yihan Cai;Tianyang Zhao;Yun Liu;Jian Wang;Lei Wu;Yong Zhao

作者机构：School of Artificial Intelligence and AutomationMinistry of Education Key Laboratory of Image Processing and Intelligence ControlHuazhong University of Science and TechnologyWuhanChina School of Electrical and Electronic EngineeringNanyang Technological UniversitySingaporeSingapore College of Mechatronics and Control EngineeringShenzhen UniversityShenzhenChina Department of Electrical&Computer EngineeringStevens Institute of TechnologyHobokenUSA 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2022年第10卷第1期

页      面：149-162页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 082302[工学-交通信息工程及控制] 0823[工学-交通运输工程] 

基　　金：This work was supported by the Key Scientific and Technological Research Project of State Grid Corporation of China(No.5400-202022113A-0-0-00). 

主　　题：Multi-objective optimization electric vehicle battery swap charging system scheduling photovoltaic 

摘      要：Electric vehicles(EVs)are widely deployed throughout the world,and photovoltaic(PV)charging stations have emerged for satisfying the charging demands of EV users.This paper proposes a multi-objective optimal operation method for the centralized battery swap charging system(CBSCS),in order to enhance the economic efficiency while reducing its adverse effects on power grid.The proposed method involves a multi-objective optimization scheduling model,which minimizes the total operation cost and smoothes load fluctuations,simultaneously.Afterwards,we modify a recently proposed multi-objective optimization algorithm of non-sorting genetic algorithm III(NSGA-III)for solving this scheduling problem.Finally,simulation studies verify the effectiveness of the proposed multi-objective operation method.